School of Computer Science

Module 06-22133 (2019)

Human Computer Interaction

Level 3/H

Russell Beale Semester 1 10 credits
Co-ordinator: Russell Beale
Reviewer: Russell Beale

The Module Description is a strict subset of this Syllabus Page.


Human-computer interaction (HCI) explores the technical and psychological issues arising from the interface between people and machines. Understanding HCI is essential for designing effective hardware and software user interfaces. This module teaches the theory and practice of HCI methodologies for both design and evaluation.


The aims of this module are to:

  • Provide the student with the core knowledge and skills required for further study and for practical HCI development
  • Give students practical and theoretical knowledge in the use of HCI methodologies for both design and evaluation

Learning Outcomes

On successful completion of this module, the student should be able to:

  1. Explain and discuss the key capabilities and limitations in human cognitive performance and relate this to the design of HCI systems
  2. Select appropriate HCI Design Methodologies and apply them in the solution of real world design problems
  3. Select appropriate methodologies for the evaluation of HCI systems. Implement these methodologies on real systems and analyse and discuss the results produced
  4. Demonstrate an understanding of the scope and importance of HCI systems across a range of application domains



Taught with

  • 06-25020 - Advanced Human Computer Interaction

Cannot be taken with

  • 06-30512 - Human Computer Interaction Theory and Practice
  • 06-21253 - Introduction to Human-Computer Interaction
  • 06-25020 - Advanced Human Computer Interaction

Teaching methods

2 hr lecture, 1hr tutorial/practical a week

Contact Hours: 34


Sessional: 1.5 hr examination (80%), continuous assessment (20%)

Supplementary (where allowed): examination (80%) with the continuous assessment mark carried forward (20%)

Detailed Syllabus

  1. Human performance and constraints
    • Sensory-motor (perception and action)
    • Language (statistics of language, structure, semantics, pragmatics)
    • Cognition (memory, attention, control)
    • Social (social networks)
    • Economic (game theory)
  2. Tasks
    • Models/theories for understanding the task environment / context of use etc.)
    • Task analysis (HTA, GOMS etc.)
    • Ethnography
    • Controlled experiments
  3. Design methodologies
    • Task-artifact cycle
    • User Centred Design
    • User Experience (UX)
    • Interaction design and models
  4. Evaluation methodologies and tools
    • Heuristic evaluation
    • Cognitive walkthrough
    • Participatory design
    • Observational methods
    • Questionnaire design
  5. Application areas. A series of case studies and guest lectures drawn from:
    • CSCW
    • Social Media
    • Mobile computing
    • Information Visualisation
    • Information retrieval and the web
    • Aviation/driving, situation awareness, and dynamic systems control
    • Personal information management
    • Social navigation, word-of-mouth and recommendation
    • Economic relationships (the use of eBay, Amazon)
    • Privacy & Security
    • Games

Programmes containing this module